Summary
This website contacted 223 IPs in 5 countries across 49 domains to perform 225 HTTP transactions. The main domain is pepsicojobs.com and was registered NaN years ago.
Submitted URL: https://www.pepsicojobs.com/
Effective URL: https://www.pepsicojobs.com/main/Redirected
The Cisco Umbrella rank of the primary domain is #926,468 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 80%
Site mimics PepsiCo careers on a low‑rank domain; treat as high‑risk phishing.
Risk Factors
Details
Page Title
PepsiCo Careers
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain name 'www.pepsicojobs.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 11 characters in 'pepsicojobs' split between four vowels and seven consonants. Splitting it apart reveals two words: pepsico, jobs. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 142.250.186.132 | United States | AS15169GOOGLE |
| 1 | 18.245.86.18 | United States | AS16509AMAZON-02 |
| 1 | 74.125.206.157 | United States | AS15169GOOGLE |
| 1 | 23.53.42.10 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.32.121.121 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 76.223.38.83 | United States | AS16509AMAZON-02 |
| 1 | 99.84.152.83 | United States | AS16509AMAZON-02 |
| 1 | 18.66.147.114 | United States | AS16509AMAZON-02 |
| 1 | 142.250.185.106 | United States | AS15169GOOGLE |
| 225 | 223 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
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